2014
DOI: 10.1093/gji/ggu001
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Image-guided inversion of electrical resistivity data

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Cited by 96 publications
(50 citation statements)
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“…Other cooperative inversion techniques, as used by Zhou et al (2014), apply smoothness weights at boundaries with dependence on a priori user-defined structures. That is, smaller weightings can be allocated proximal to the edge of faults or other potential geo-electrical boundaries.…”
Section: Other Methodsmentioning
confidence: 99%
“…Other cooperative inversion techniques, as used by Zhou et al (2014), apply smoothness weights at boundaries with dependence on a priori user-defined structures. That is, smaller weightings can be allocated proximal to the edge of faults or other potential geo-electrical boundaries.…”
Section: Other Methodsmentioning
confidence: 99%
“…Constraints on ERI inversion can be deployed if drilling, wireline logging, and/or other geophysical data are available. In this case, joint, collaborative and cooperative inversion strategies can be deployed (e.g., Meju 2007, 2011; Le et al 2016;Marker et al 2015;Soueid Ahmed et al 2015;Takam Takougang et al 2015;Zhou et al 2014). We will provide field-based examples of how characterization of coastal aquifer systems can be advanced by integration of ERI with complementary data, such as ground penetrating radar (GPR).…”
Section: Figmentioning
confidence: 99%
“…Here semi-automatic procedures can help to transform a guiding image into a form that can be used to steer a constrained inversion. Zhou et al (2014) have developed an image-guided inversion approach that uses such a transformation. Based on a guiding image, e.g., a GPR section, two quantities are calculated: (1) a metric tensor field that identifies directions of major changes and directions of homogeneity, the long axis of this tensor is aligned parallel to the direction where the reflection amplitudes are continuous, and (2) semblance, to identify the location of strong discontinuities, semblance values are low at major discontinuities.…”
Section: Cooperative and Constrained Inversionmentioning
confidence: 99%
“…Introducing the seismic constraint has made the models virtually independent of location c Fig. 15 Guiding image, calculated metric tensor field and semblance from that image as well as individual and constrained inversion results from the study of Zhou et al (2014). Introducing the structural constraints has increased the sharpness of several boundaries and changed the geometry of several structures to incorporate the tensor and semblance information in the inversion though, it is necessary to define a threshold below which the semblance is considered to indicate a boundary.…”
Section: Cooperative and Constrained Inversionmentioning
confidence: 99%